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ClickzProtect — Bot Protection & Click Fraud Prevention Platform — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
detectedcontent.com ↗	71 match 1 shared topics	Detected Content \| Anti-Piracy & Content Protection Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kustodyan.com ↗	70 match 1 shared topics	Kustodyan - Data Protection Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
miru-labs.com ↗	70 match 1 shared topics	Miru Labs \| Insider Threat Prevention Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
trias-technology.com ↗	70 match 1 shared topics	TRIAS DLP - Enterprise Data Loss Prevention Platform	en	information-and-network-security	robotsllmsaihumans	email phone	none
mine2.io ↗	69 match 1 shared topics	MINE2 - Cyber Deception & Threat Detection Platform	India~ en	information-and-network-security	robots llmsaihumans	emailphone	none
tradons.com ↗	69 match 1 shared topics	TRIAS DLP - Enterprise Data Loss Prevention Platform \| TRADONS	en	information-and-network-security	robotsllmsaihumans	email phone	none
0tracelabs.com ↗	69 match 1 shared topics	0TraceLabs - Complete Privacy Protection Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
adaptus.com ↗	69 match 1 shared topics	EzProtect - Malware & Ransomware Protection for Salesforce	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
tritanium.ai ↗	69 match 1 shared topics	Tritanium.ai — Cyber Attack Prevention Platform for the AI Era	Australia~ en	information-and-network-security	robots llmsaihumans	emailphone	none
24metrics.com ↗	69 match 1 shared topics	Realtime Click and Affiliate Fraud Prevention	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
123verifi.com ↗	68 match 1 shared topics	123Verifi.com — Fraud Prevention	en	information-and-network-security	robotsllmsaihumans	emailphone	none
roansbots.com ↗	68 match 1 shared topics	VNAV Cloud Brand Protection \| Prevent Domain Hijacking & Typosquatting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
idandfraudprotection.com ↗	68 match 1 shared topics	ID and fraud protection	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
l2protection.com ↗	68 match 1 shared topics	L2 Protection - Professional Lineage 2 Server Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dotnetprotect.com ↗	68 match 1 shared topics	ASP.NET IIS Password Protection by .net PROTECT	en	information-and-network-security	robotsllmsaihumans	emailphone	none
helpdeskhacks.org ↗	68 match 1 shared topics	Nametag: Identity Verification & Account Protection Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
helpdeskhack.com ↗	68 match 1 shared topics	Nametag: Identity Verification & Account Protection Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
helpdeskhackers.com ↗	68 match 1 shared topics	Nametag: Identity Verification & Account Protection Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.